Ding, Kemi and Li, Yuzhe and Dey, Subhrakanti and Shi, Ling (2017) Multi-sensor Transmission Management for Remote State Estimation under Coordination. IFAC-PapersOnLine, 50 (1). pp. 3829-3834. ISSN 2405-8963
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Abstract
This paper considers the remote state estimation in a cyber-physical system (CPS) using multiple sensors. The measurements of each sensor are transmitted to a remote estimator over a shared channel, where simultaneous transmissions from other sensors are regarded as interference signals. In such a competitive environment, each sensor needs to choose its transmission power for sending data packets taking into account of other sensors’ behavior. To model this interactive decision-making process among the sensors, we introduce a multi-player non-cooperative game framework. To overcome the inefficiency arising from the Nash equilibrium (NE) solution, we propose a correlation policy, along with the notion of correlation equilibrium (CE). An analytical comparison of the game value between the NE and the CE is provided, with/without the power expenditure constraints for each sensor. Also, numerical simulations demonstrate the comparison results.
Item Type: | Article |
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Additional Information: | This paper was presented at IFAC 2017 World Congress - The 20th World Congress of the International Federation of Automatic Control, 9-14 Jul 2017, Toulouse, France. |
Keywords: | State estimation; Sensors; Remote estimator; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 11901 |
Identification Number: | https://doi.org/10.1016/j.ifacol.2017.08.489 |
Depositing User: | Subhrakanti Dey |
Date Deposited: | 28 Nov 2019 12:24 |
Journal or Publication Title: | IFAC-PapersOnLine |
Publisher: | Elsevier |
Refereed: | Yes |
URI: | |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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